Xiaowei Tan
Papers
1
Total Citations
21
H-Index
1
About
Dr. Xiaowei Tan is a leading researcher at the intersection of intelligent control systems and rehabilitation robotics, with a primary focus on developing robust estimation techniques for nonlinear uncertain systems. Her most impactful work introduces a multi-layer CNN-LSTM network enhanced with a self-attention mechanism, a novel architecture that significantly improves the accuracy and reliability of human movement intention recognition. This contribution is critical for advancing intelligent rehabilitation robots, particularly for patients with lower limb motor dysfunction following stroke. By enabling more precise pattern recognition of human motion, Dr. Tan’s research directly addresses a key bottleneck in the clinical application of assistive robotics. Her 2024 paper on this topic has already garnered 21 citations, underscoring its rapid influence in the field. Dr. Tan’s work bridges deep learning and biomechanical control, offering practical pathways toward safer, more responsive robotic rehabilitation systems. Her achievements position her as a rising authority in human-robot interaction and adaptive control for healthcare applications.
Research Focus
Key Achievements
Top Papers
- 1